From 3e170340be75da8ed66bf8a4d9542dbf439cc886 Mon Sep 17 00:00:00 2001 From: Ludovic Moncla <moncla.ludovic@gmail.com> Date: Tue, 13 Dec 2022 18:22:08 +0100 Subject: [PATCH] Update README.md --- "s\303\251minaires/session9_dec22/README.md" | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git "a/s\303\251minaires/session9_dec22/README.md" "b/s\303\251minaires/session9_dec22/README.md" index 2eefb2f..170a2df 100644 --- "a/s\303\251minaires/session9_dec22/README.md" +++ "b/s\303\251minaires/session9_dec22/README.md" @@ -14,7 +14,7 @@ Inscription : [https://framaforms.org/inscription-seminaire-8-decembre-traitemen Xuke Hu (German Aerospace Center) -[<img src="https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session8-presentation1.png" width="650" />](https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.mp4 "Enregistrement présentation 1" +[<img src="https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.png" width="650" />](https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.mp4 "Enregistrement présentation 1") A vast amount of geospatial information exists in natural language texts (e.g., social media posts, website texts, and historical archives) in the form of toponyms, place names, and location descriptions. Extracting geographic information from texts is named geoparsing, which is beneficial not only for scientific studies, such as sociolinguistics and spatial humanities but can also contribute to various practical applications, such as disaster management, urban planning, and disease surveillance. In the presentation, I will share our latest findings in the two sub-tasks of geoparsing: toponym recognition and toponym resolution. Specifically, I will introduce our proposed approaches for the two sub-tasks and compare them with numerous existing ones based on many datasets. -- GitLab